The cmu/supermarket dataset (v. 2014-05-27)
Round-trip Time-of-flight Measurements from a supermarket
Contributed by Aveek Purohit, Shijia Pan, Kaifei Chen, Zheng Sun, Pei Zhang.
The dataset is meant to aid development and evaluation of indoor location in complex indoor environments using round-trip time-of-flight (RToF) and magnetometer measurements. The dataset provides Round-trip time-of-flight (RToF) and magnetometer measurements at 1589 mobile node locations from 30 deployed stationary anchors in the 26m x 24m New Wing Yuan supermarket in Sunnyvale, CA. The data was collected during working hours over a period of 15 days. The nodes are equipped with chirp spread spectrum Nanotron nanoLoc radios (802.15.4a) and a Honeywell's HMC5843, a 3-axis digital magnetometer. At every location, 20 distinct readings were obtained for RToF signatures as well magnetometer measurements, to capture the variance, giving a total of 31780 readings.
details of the cmu/supermarket dataset (v. 2014-05-27)
- last modified
-
2014-05-27
- nickname
-
supermarket
- institution
-
cmu
- reason for most recent change
-
the initial version
- release date
-
2014-05-27
- date/time of measurement start
-
2011-02-15
- date/time of measurement end
-
2011-03-01
- website
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www.crawdad.org/cmu/supermarket
- network type
-
802.15 WPAN (wireless personal area networks)
- collection environment
-
The data is collected in the New Wing Yuan supermarket in Sunnyvale, CA, USA (1139 N Lawrence Expy Sunnyvale, CA 94089) during working hours. 30 anchor nodes are deployed over the supermarket. Volunteer students equipped with a mobile sensor node measure the RToF values from the anchors at 1589 distinct locations in the aisles and perimeter of the supermarket. An illustration of the layout, product placements, placement of sensor nodes and point of measurements is included in README.pdf.
- network configuration
-
The network consists of 30 deployed anchor nodes equipped with 802.15.4a Nanotron nanoLoc transceivers. A mobile node also equipped with a 802.15.4a Nanotron nanoLoc transceiver attempts to obtain RToF measurement from all anchors in a single-hop network configuration.
- data collection methodology
-
The network consists of 30 deployed anchor nodes (15 at a time) equipped with 802.15.4a Nanotron nanoLoc transceivers. The supermarket is split into two parts and 15 nodes are deployed at a time. A mobile node also equipped with a 802.15.4a Nanotron nanoLoc transceiver polls all 15 deployed anchors on command, over an interval of 30 seconds, waiting 1 second to obtain an RToF measurement from each anchor. 3 retries are attempted in every 1-second slot. The mobile node is attached to a stick and mounted at height of 1.5m from the ground to maintain a constant vertical position. The orientation of the node is always held constant facing the north wall of the supermarket. In addition, a magnetometer reading is recorded at each location. 20 sets of readings are recorded at each location. The RToF and magnetometer measurements are logged as a text file on a workstation attached to the mobile node with timestamps.
- sanitization
-
Every unavailable reading (due to anchors being out of range or localized network disruption) is replaced with a NaN (not-a-number). Relative co-ordinates are assigned to every location on the supermarket floor where measurements are made.
- limitation
-
The data at each location is obtained over a period of 20 minutes, covering the entire supermarket area over a period of 15 days. As readings are not obtained simultaneously, the methodology incorporated diurnal variations in measurements.
This dataset contains the following traceset:
supermarket_rtof
RToF and Magnetometer measurements over a supermarket
quick access to download the traceset
- browse the cmu/supermarket/supermarket_rtof trace directory
- from a CRAWDAD mirror: US
UK
size="1.3MB" type="directory"
- download the README.pdf (from the cmu/supermarket/supermarket_rtof trace) file
- from a CRAWDAD mirror: US
UK
size="444KB" type="pdf" md5="5b428eff54db2feb49c53e5cdc23b06f"
- download the cmu_supermarket.csv.gz (from the cmu/supermarket/supermarket_rtof/supermkt_rtof_trace trace) file
- from a CRAWDAD mirror: US
UK
size="808KB" type="csv.gz" md5="7cd5c3f50abb0da0227213f821c922b7"
5 contributors 
- Aveek Purohit
apurohit@ece.cmu.edu
- Shijia Pan
shijia.pan@sv.cmu.edu
- Kaifei Chen
zheng.sun@sv.cmu.edu
- Zheng Sun
pei.zhang@sv.cmu.edu
- Pei Zhang
how to cite this dataset
When writing a paper that uses CRAWDAD datasets, we would appreciate it if you could cite both the authors of the dataset and CRAWDAD itself, and identify the exact dataset using the appropriate version number. For this dataset, this citation would look like:
Aveek Purohit, Shijia Pan, Kaifei Chen, Zheng Sun, Pei Zhang, CRAWDAD dataset cmu/supermarket (v. 2014‑05‑27), downloaded from https://crawdad.org/cmu/supermarket/20140527, https://doi.org/10.15783/C7MW2Z, May 2014.
We also provide bibliographic information in common citation formats below:
@misc{cmu-supermarket-20140527,
author = {Aveek Purohit and Shijia Pan and Kaifei Chen and Zheng Sun and Pei Zhang},
title = {{CRAWDAD} dataset cmu/supermarket (v. 2014-05-27)},
howpublished = {Downloaded from \url{https://crawdad.org/cmu/supermarket/20140527}},
doi = {10.15783/C7MW2Z},
month = may,
year = 2014
}
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TY - DATA
TI - CRAWDAD dataset cmu/supermarket (v. 2014-05-27)
UR - https://crawdad.org/cmu/supermarket/20140527
PY - 2014/05/27/
AU - Aveek Purohit
AU - Shijia Pan
AU - Kaifei Chen
AU - Zheng Sun
AU - Pei Zhang
DO - 10.15783/C7MW2Z
ER -
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